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Table 2 Multivariate analysis of characteristics of respondents associated with receiving information about antibiotic use and AMR, knowledge, and awareness of antibiotic use and AMR

From: Population knowledge and awareness of antibiotic use and antimicrobial resistance: results from national household survey 2019 and changes from 2017

Characteristic

Public information on appropriate use of antibiotics and AMR

Knowledge about appropriate antibiotic use and AMR

Awareness of appropriate antibiotic use and AMR

Number of respondents who did not receive information (%)

Number of respondents who received information (%)

Adjusted OR

95% CI

P-value

Number of respondents with ≤ 3 correct answers (%)

Number of respondents with > 3 correct answers (%)

Adjusted OR

95% CI

P-value

Number of respondents with awareness score ≤ 3 (%)

Number of respondents with awareness score > 3 (%)

Adjusted OR

95% CI

P-value

Gender

  

<0.001a (LR test)

  

0.097

  

0.011a (LR test)

Male

8,893 (41.4)

2,302 (36.0)

Reference

8,654 (39.9)

2,541 (41.0)

Bivariate analysis is not statistically significant

2,348 (41.3)

8,847 (39.8)

Reference

Female

12,608 (58.6)

4,097 (64.0)

1.26

1.19-1.34

<0.001a

13,054 (60.1)

3,651 (59.0)

3,333 (58.7)

13,372 (60.2)

1.08

1.02-1.15

0.011a

Age group, years

  

<0.001a (LR test)

  

<0.001a (LR test)

  

<0.001a (LR test)

15-24

1,105 (5.1)

273 (4.3)

Reference

1,042 (4.8)

336 (5.4)

Reference

278 (4.9)

1,100 (5.0)

Reference

25-59

13,153 (61.2)

3,957 (61.8)

1.19

1.03-1.37

0.016a

12,912 (59.5)

4,198 (67.8)

1.07

0.94-1.22

0.322

3,131 (55.1)

13,979 (62.9)

1.22

1.05-1.40

0.007a

≥ 60

7,243 (33.7)

2,169 (33.9)

1.30

1.12-1.51

0.001a

7,754 (35.7)

1,658 (26.8)

0.87

0.76-1.01

0.064

2,272 (40.0)

7,140 (32.1)

1.02

0.88-1.19

0.749

Area of residence

  

0.177

  

0.546 (LR test)

  

0.002a (LR test)

Urban

11,857 (55.2)

3,590 (56.1)

Bivariate analysis is not statistically significant

11,870 (54.7)

3,577 (57.8)

Reference

2,917 (51.3)

12,530 (56.4)

Reference

Rural

9,644 (44.8)

2,809 (43.9)

9,838 (45.3)

2,615 (42.2)

1.02

0.96-1.08

0.545

2,764 (48.7)

9,689 (43.6)

0.91

0.86-0.96

0.002a

Education level

  

<0.001a (LR test)

  

<0.001a (LR test)

  

<0.001a (LR test)

Uneducated

1,122 (5.2)

190 (3.0)

Reference

1,154 (5.3)

158 (2.6)

Reference

449 (7.9)

863 (3.9)

Reference

Primary school

12,282 (57.1)

3,474 (54.3)

1.58

1.35-1.85

<0.001a

12,982 (59.8)

2,774 (44.8)

1.40

1.18-1.66

<0.001a

3,652 (64.3)

12,104 (54.5)

1.51

1.34-1.71

<0.001a

Secondary school

5,994 (27.9)

1,835 (28.6)

1.73

1.46-2.04

<0.001a

5,704 (26.3)

2,125 (34.3)

2.16

1.81-2.59

<0.001a

1,245 (21.9)

6,584 (29.6)

2.18

1.90-2.50

<0.001a

University and above

2,063 (9.6)

895 (14.0)

2.16

1.80-2.59

<0.001a

1,829 (8.4)

1,129 (18.2)

3.27

2.70-3.97

<0.001a

318 (5.6)

2,640 (11.9)

3.03

2.54-3.61

<0.001a

Others and unknown

40 (0.2)

5 (0.1)

0.89

0.35-2.29

0.809

39 (0.2)

6 (0.1)

1.11

0.46-2.67

0.816

318 (0.3)

2,640 (0.1)

0.88

0.48-1.63

0.688

Wealth quintile

  

<0.001a (LR test)

  

<0.001a (LR test)

  

<0.001a (LR test)

Q1 (poorest)

5,298 (24.6)

1,177 (18.4)

Reference

5,448 (25.1)

1,027 (16.6)

Reference

1,825 (32.1)

4,650 (20.9)

Reference

Q2

4,725 (22.0)

1,276 (19.9)

1.16

1.06-1.26

0.001a

4,789 (22.1)

1,212 (19.6)

1.25

1.14-1.37

<0.001a

1,226 (21.6)

4,775 (21.5)

1.41

1.29-1.53

<0.001a

Q3

4,293 (20.0)

1,331 (20.8)

1.31

1.20-1.44

<0.001a

4,424 (20.4)

1,200 (19.4)

1.28

1.17-1.41

<0.001a

1,079 (19.0)

4,545 (20.5)

1.48

1.36-1.62

<0.001a

Q4

4,107 (19.1)

1,400 (21.9)

1.39

1.27-1.52

<0.001a

4,424 (18.8)

1,200 (22.9)

1.48

1.35-1.63

<0.001a

949 (16.7)

4,558 (20.5)

1.55

1.41-1.69

<0.001a

Q5 (wealthiest)

3,078 (14.3)

1,215 (19.0)

1.49

1.35-1.65

<0.001a

2,958 (13.6)

1,335 (21.5)

1.57

1.42-1.75

<0.001a

602 (10.6)

3,691 (16.6)

1.66

1.49-1.86

<0.001a

Total

21,501 (100.0)

6,399 (100.0)

   

21,708 (100)

6,192 (100.0)

   

5,681 (100.0)

22,219 (100.0)

   
  1. Likelihood Ratio test (LR test) evaluates the difference nested models in which one model restricts a parameter to zero by removing the predictor variables from the model
  2. aRefer to statistically significant at P-value <0.05